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DSA C#programming~10 mins

Memoization to Optimize Recursion in DSA C# - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to declare the memo dictionary for caching results.

DSA C#
Dictionary<int, int> memo = new Dictionary<int, int>[1];
Drag options to blanks, or click blank then click option'
A<>
B()
C[]
D{}
Attempts:
3 left
💡 Hint
Common Mistakes
Using parentheses () instead of curly braces {}
Using square brackets [] which are for arrays or lists
Using angle brackets <> which are for generics
2fill in blank
medium

Complete the code to check if the result for n is already computed in memo.

DSA C#
if (memo.[1](n)) return memo[n];
Drag options to blanks, or click blank then click option'
AExists
BHasKey
CContainsKey
DContains
Attempts:
3 left
💡 Hint
Common Mistakes
Using HasKey which does not exist in C# Dictionary
Using Exists which is for lists
Using Contains which checks for values, not keys
3fill in blank
hard

Fix the error in the recursive call to use memoization properly.

DSA C#
memo[n] = Fibonacci([1], memo) + Fibonacci(n - 2, memo);
Drag options to blanks, or click blank then click option'
An - 1
Bn
Cn - 2
Dn + 1
Attempts:
3 left
💡 Hint
Common Mistakes
Using n instead of n - 1 causes infinite recursion
Using n - 2 twice misses the n - 1 term
Using n + 1 goes beyond the current number
4fill in blank
hard

Fill both blanks to complete the Fibonacci method signature and base case check.

DSA C#
public int Fibonacci([1] n, Dictionary<int, int> memo) {
    if ([2]) return n;
    // rest of code
}
Drag options to blanks, or click blank then click option'
Aint
Bn <= 1
Cn == 1
Dbool
Attempts:
3 left
💡 Hint
Common Mistakes
Using bool as parameter type instead of int
Checking only n == 1 misses the case n == 0
Using n < 0 which is invalid for Fibonacci
5fill in blank
hard

Fill all three blanks to complete the memoization logic inside the Fibonacci method.

DSA C#
if (!memo.ContainsKey(n)) {
    memo[[1]] = Fibonacci(n - 1, [2]) + Fibonacci([3], memo);
}
return memo[n];
Drag options to blanks, or click blank then click option'
An
Bmemo
Cn - 2
Dn + 1
Attempts:
3 left
💡 Hint
Common Mistakes
Using n + 1 which is incorrect for Fibonacci
Not passing memo in recursive calls
Using wrong keys for memo dictionary

Practice

(1/5)
1. What is the main purpose of using memoization in recursive functions?
easy
A. To make the function run slower by adding extra steps
B. To avoid using any variables inside the function
C. To convert recursion into iteration automatically
D. To store results of expensive function calls and reuse them

Solution

  1. Step 1: Understand recursion inefficiency

    Recursive functions often repeat the same calculations multiple times, which wastes time.
  2. Step 2: Role of memoization

    Memoization saves the results of these repeated calculations so they can be reused instead of recalculated.
  3. Final Answer:

    To store results of expensive function calls and reuse them -> Option D
  4. Quick Check:

    Memoization = Store and reuse results [OK]
Hint: Memoization saves repeated results to speed recursion [OK]
Common Mistakes:
  • Thinking memoization slows down recursion
  • Confusing memoization with iteration
  • Believing memoization removes recursion
2. Which of the following is the correct way to declare a memo dictionary for integer keys and values in C#?
easy
A. HashSet memo = new HashSet();
B. List memo = new List();
C. Dictionary memo = new Dictionary();
D. Dictionary memo = new Dictionary();

Solution

  1. Step 1: Identify correct generic dictionary syntax

    In C#, a dictionary with integer keys and values is declared as Dictionary.
  2. Step 2: Check options for correct syntax

    Dictionary memo = new Dictionary(); uses Dictionary with proper initialization, others use wrong types or missing generics.
  3. Final Answer:

    Dictionary memo = new Dictionary(); -> Option C
  4. Quick Check:

    Dictionary = Correct memo declaration [OK]
Hint: Use Dictionary for integer key-value memo [OK]
Common Mistakes:
  • Using List or HashSet instead of Dictionary
  • Missing generic type parameters
  • Using untyped Dictionary without generics
3. What will be the output of the following C# code?
using System;
using System.Collections.Generic;

class Program {
    static Dictionary memo = new Dictionary();

    static int Fib(int n) {
        if (n <= 1) return n;
        if (memo.ContainsKey(n)) return memo[n];
        memo[n] = Fib(n - 1) + Fib(n - 2);
        return memo[n];
    }

    static void Main() {
        Console.WriteLine(Fib(5));
    }
}
medium
A. 5
B. 8
C. 3
D. 13

Solution

  1. Step 1: Understand Fibonacci calculation

    Fib(5) = Fib(4) + Fib(3). Calculating recursively with memoization avoids repeated work.
  2. Step 2: Calculate Fib(5) step-by-step

    Fib(0)=0, Fib(1)=1, Fib(2)=1, Fib(3)=2, Fib(4)=3, Fib(5)=5.
  3. Final Answer:

    5 -> Option A
  4. Quick Check:

    Fib(5) = 5 [OK]
Hint: Recall Fibonacci sequence values or trace memoized calls [OK]
Common Mistakes:
  • Confusing Fib(5) with Fib(6)
  • Ignoring memoization effect
  • Miscounting base cases
4. Identify the error in this memoized factorial function and select the fix:
static Dictionary memo = new Dictionary();

static int Factorial(int n) {
    if (n == 0) return 1;
    if (memo.ContainsKey(n)) return memo[n];
    memo[n] = n * Factorial(n - 1);
    return n;
}
medium
A. Use memo[n] = Factorial(n - 1) * (n - 1);
B. Return memo[n] instead of n after recursive call
C. Remove memo dictionary completely
D. Change base case to if (n == 1) return 1;

Solution

  1. Step 1: Analyze return statement after recursion

    The function returns 'n' instead of the computed factorial stored in memo[n], which is incorrect.
  2. Step 2: Correct return value

    Return memo[n] to return the calculated factorial value after storing it.
  3. Final Answer:

    Return memo[n] instead of n after recursive call -> Option B
  4. Quick Check:

    Return memo[n] fixes incorrect output [OK]
Hint: Return stored memo value, not input parameter [OK]
Common Mistakes:
  • Returning input parameter instead of memoized result
  • Changing base case unnecessarily
  • Misusing memo dictionary keys
5. You want to optimize a recursive function that calculates the number of ways to climb n stairs taking 1 or 2 steps at a time. Which memoization approach below correctly implements this in C#?
hard
A. Use a Dictionary to store results; base cases for 0 and 1 stairs return 1; recursive call sums ways(n-1) and ways(n-2).
B. Use a List<int> to store results; base case returns 0 for 0 stairs; recursive call multiplies ways(n-1) and ways(n-2).
C. Use a Dictionary but no base cases; recursive call sums ways(n-1) and ways(n-2).
D. Use an array of size n; base cases return n; recursive call subtracts ways(n-1) from ways(n-2).

Solution

  1. Step 1: Understand problem and base cases

    Number of ways to climb stairs with 1 or 2 steps: ways(0)=1 (one way to stand still), ways(1)=1.
  2. Step 2: Correct memoization approach

    Use Dictionary to store results; recursive call sums ways(n-1) and ways(n-2) to count all paths.
  3. Final Answer:

    Use a Dictionary to store results; base cases for 0 and 1 stairs return 1; recursive call sums ways(n-1) and ways(n-2). -> Option A
  4. Quick Check:

    Memo + base cases + sum recursion = Use a Dictionary to store results; base cases for 0 and 1 stairs return 1; recursive call sums ways(n-1) and ways(n-2). [OK]
Hint: Base cases 0,1 = 1; sum ways(n-1) + ways(n-2) with memo [OK]
Common Mistakes:
  • Wrong base cases values
  • Using multiplication instead of addition
  • Missing base cases causing infinite recursion
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